2022
DOI: 10.1021/acssuschemeng.2c04779
|View full text |Cite
|
Sign up to set email alerts
|

Machine Learning to Predict the Interfacial Behavior of Pesticide Droplets on Hydrophobic Surfaces for Minimizing Environmental Risk

Abstract: Achieving accurate and efficient target deposition of pesticide droplets is the principal factor in minimizing environmental risk. For hydrophobic surfaces, adding tank-mix adjuvants containing surfactants to modulate interfacial behavior is warranted, which lacks common laws to guide practical applications directly. Machine learning is developing rapidly and makes many data-based decisions in various industrial processes. Hence, according to machine learning-based analysis of fundamental physical quantities, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
6
0

Year Published

2023
2023
2025
2025

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 13 publications
(12 citation statements)
references
References 44 publications
0
6
0
Order By: Relevance
“…By measuring the solution’s static or dynamic contact angle, it is possible to identify wettability, a macroscopic expression of interfacial interactions . Wetting and retention capacity of pesticide solution on the target plant is related to surface tension and contact angle of pesticide droplet on the leaf surface .…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…By measuring the solution’s static or dynamic contact angle, it is possible to identify wettability, a macroscopic expression of interfacial interactions . Wetting and retention capacity of pesticide solution on the target plant is related to surface tension and contact angle of pesticide droplet on the leaf surface .…”
Section: Resultsmentioning
confidence: 99%
“…In addition, the surface tension of chlorantraniliprole suspension concentrate and difenoconazole suspension concentrate decreased from 44.6 to 22.4 mN m –1 and 41.5 to 23.1 mN m –1 , respectively, after adding the adjuvant. The reduction of surface tension makes it easier for droplets to enter the micro- or nanostructures on the surface, thus increasing the wettability and spread of droplets on the leaf surface …”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Droplet impact behavior has important research significance in inkjet printing, , aerospace, medicine, agriculture, and other fields. Especially, in the process of pesticide spraying, plant leaves exhibit hydrophobicity generated by multistage micro and nano structures and a variety of chemical components, resulting in the pesticide solution easily bouncing, tumbling, gathering, and being lost when it hits the surface of plant leaves.…”
Section: Introductionmentioning
confidence: 99%